Jun Yu
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Aging top 10%
Papers in
-
- Epigenetics and DNA Methylation 8
- RNA Research and Splicing 6
-
- Sperm and Testicular Function 11
- Co-authors
- Sheng Yi (6 shared papers)Bo Zheng (33 shared papers)Xiaosong Gu (2 shared papers)Cong Shen (27 shared papers)Nick E. Le Brun (1 shared paper)Xia Chen (23 shared papers)Xiaoyan Huang (13 shared papers)Hong Li (13 shared papers)
- Journals
- Redox Biology (3 papers)Cell Death and Disease (3 papers)Frontiers in Cellular Neuroscience (2 papers)Ecotoxicology and Environmental Safety (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Yu
86 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 121
- Reproductive Medicine 156
- Aging 29
- Cellular and Molecular Neuroscience 224
- Cancer Research 157
- Developmental Neuroscience 43
Countries citing papers authored by Jun Yu
This map shows the geographic impact of Jun Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yu more than expected).
Fields of papers citing papers by Jun Yu
This network shows the impact of papers produced by Jun Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun Yu. The network helps show where Jun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 77 | |
| 2 | 2016 | 72 | |
| 3 | 1998 | 60 | |
| 4 | 2017 | 58 | |
| 5 | 2016 | 55 | |
| 6 | 2016 | 47 | |
| 7 | 2017 | 46 | |
| 8 | 2018 | 46 | |
| 9 | 2019 | 41 | |
| 10 | 2015 | 36 | |
| 11 | 2021 | 34 | |
| 12 | 2018 | 32 | |
| 13 | 2019 | 30 | |
| 14 | 2018 | 29 | |
| 15 | 2021 | 28 | |
| 16 | 2018 | 27 | |
| 17 | 2019 | 26 | |
| 18 | 2018 | 26 | |
| 19 | 2016 | 26 | |
| 20 | 2020 | 24 |
About Jun Yu
Jun Yu is a scholar working on Molecular Biology, Reproductive Medicine, Cellular and Molecular Neuroscience, Genetics and Immunology, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sperm and Testicular Function (11 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers), Epigenetics and DNA Methylation (8 papers), Nerve injury and regeneration (7 papers), RNA Research and Splicing (6 papers), Reproductive Biology and Fertility (6 papers), Selenium in Biological Systems (5 papers) and Reproductive System and Pregnancy (5 papers). The work is most often cited by research in Reproductive Medicine (156 citations), Aging (29 citations), Cellular and Molecular Neuroscience (224 citations), Cancer Research (157 citations) and Developmental Neuroscience (43 citations). Jun Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Sheng Yi, Bo Zheng, Xiaosong Gu, Cong Shen, Nick E. Le Brun, Xia Chen, Xiaoyan Huang, Hong Li, Xiaobin Luo and Oliver M. Schlüter. Their work appears in journals such as Redox Biology, Cell Death and Disease, Frontiers in Cellular Neuroscience, Ecotoxicology and Environmental Safety and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.